Data Engineer Advisor

Ntt Data; Mérida; Presencial; MXN 550.000 - 750.000; Jornada completa

Descripción de la vacante

Ntt Data in Mérida, Mexico is seeking a Data Engineer to design, build, and maintain scalable data pipelines and analytics solutions for reliable data integration and high-quality data.

You will collaborate with data scientists, analysts, and software engineers to enable advanced analytics across the organization and ensure robust data models and warehousing.

Formación

• Strong foundation in software engineering with SQL and Python.
• Experience building multi-source data pipelines with ETL/ELT.
• Hands-on with cloud platforms, preferably AWS.

Responsabilidades

• Design, develop, and maintain data pipelines and ETL/ELT processes.
• Integrate data from multiple sources into centralized data platforms.
• Ensure data quality, integrity, and consistency across systems.
• Build and optimize data models and data warehousing solutions.
• Support analytics and reporting by delivering clean, curated datasets.
• Collaborate with cross-functional teams including data scientists, analysts, and software engineers.
• Monitor and troubleshoot data workflows and pipeline performance.

Conocimientos

SQL

Python

Data modeling

Data warehousing

Data quality

Herramientas

ETL/ELT tools

Qlik

AWS Glue

PostgreSQL

SQL Server

MySQL

Oracle

MongoDB

Neo4j

AWS

Docker

Kubernetes

Hadoop

Spark

GitHub Actions

Terraform

Descripción del empleo

Job Title: Data Engineer

Overview

We are seeking a Data Engineer responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. This role focuses on enabling reliable data integration, ensuring high data quality, and supporting advanced analytics across the organization.

* * *

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes
• Integrate data from multiple sources into centralized data platforms
• Ensure data quality, integrity, and consistency across systems
• Build and optimize data models and data warehousing solutions
• Support analytics and reporting by delivering clean, curated datasets
• Collaborate with cross-functional teams including data scientists, analysts, and software engineers
• Monitor and troubleshoot data workflows and pipeline performance

* * *

Required Qualifications

• Strong foundation in software engineering with proficiency in:
  • SQL and Python
  • ETL/ELT tools and frameworks
• Experience with database platforms:
  • RDBMS: PostgreSQL, SQL Server, MySQL, Oracle
  • NoSQL: MongoDB, Neo4j
• Hands‑on experience building multi‑source data pipelines (e.g., Qlik, AWS Glue)
• Experience working with cloud platforms, preferably AWS
• Solid understanding of:
  • Data warehousing concepts
  • Data quality and data governance practices

* * *

Preferred Qualifications

• Programming experience in Java or C++
• Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
• Knowledge of DevOps practices and tools (GitHub Actions, Terraform)
• Experience with containerization and deployment (Docker, Kubernetes)
• Exposure to API development
• Experience with big data technologies (Hadoop, Spark)

* * *

Key Skills

• Data Integration & Pipeline Development
• Cloud Data Engineering
• Data Quality & Curation
• Problem-solving and analytical thinking
• Collaboration and communication

* * *

Work Setup

• Team size: 3 Data Engineers
• Support structure: 1 senior/lead resource
• Willingness to work in a collaborative and fast‑paced environment